Data jobs created by field normalization

Data jobs created by field normalization

Data jobs created by field normalization

Field Normalization creates four data jobs during the normalization process to collect
or change data.

All jobs except Pending value collection are executed manually. Data jobs have
a roll back feature that allows you to undo normalization at different stages before committing
changes that affect the entire database.

Pending value collection: This data job is created when a field normalization record is
submitted. This job runs automatically to collect all the values from the
database for the field to be normalized. This data job does not modify the database.

Normal value change: This data job is created when an existing normal value
that is used to normalize a field is changed. When the job is run, the platform updates all the
normalized fields in the database that use the new normal value.

Alias application: This data job is created when an alias is created. When the job is
run, all field values in the database containing the alias are normalized.

Rule application: This data job is created when a rule is created. When the job is run,
all field values in the database that match this rule are normalized.

Coalesce to normal: This data job coalesces data from
existing records containing a normalized field value into a single record that uses a normal
value.